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1,036 results for “modernism”
Dataset: An empirical study on self-admitted technical debt in modern code review
<pre>This data was used in the IST paper "An Empirical Study on Self-Admitted Technical Debt in Modern Code Review". The program to use this data is published in GitHub (https://github.com/Yutaro-Kashiwa/ReviewSATD_RP) When you use this data in your research, please cite the following papers: ``` @article{Kashiwa:IST:2022:SATD_Review, author = {Yutaro Kashiwa and Ryoma Nishikawa and Yasutaka Kamei and Masanari Kondo and Emad Shihab and Ryosuke Sato and Naoyasu Ubayashi}, title = {An empirical study on self-admitted technical debt in modern code review}, journal = {Information and Software Technology}, volume = {146}, pages = {106855}, year = {2022}, url = {https://doi.org/10.1016/j.infsof.2022.106855}, doi = {10.1016/j.infsof.2022.106855} } ``` </pre>
Calcification records of modern Porites corals from Hainan Island in the northern South China Sea
<p>Calcification records (including skeletal density, linear extension rates, and calcification rates) for the <em>Porites lutea</em> corals off the east Hainan Island in the northern South China Sea.</p>
Sediment gravity-flow drives the buildup of the modern Huanghe (Yellow River) delta front
<p>The dataset contains the output data of the numerical model and the source code for processing the data.</p> <p>1 Model validation </p> <p>The simulation time period covers 1996 to 2010 CE for H1, 1986 to 2009 CE for H2, and 1986 to 2008 CE for H3.</p> <p>1.1 The grain size distribution of the H1-H3 profile .grain</p> <p>1.2 The seafloor topography of the H1-H3 profile .bin</p> <p> </p> <p>2 Sensitivity numerical experiments</p> <p>2.1 The grain size distribution of the YD01-YD03 cores .grain</p> <p>We selected three cores (YD01, YD02, and YD03) at the H2 profile, simulated for the period of 1986-2006.</p> <p>2.2 The seafloor topography of the H2 profile .bin</p> <p>The model runs over timespans of 10 years (1986 to 1996), 20 years (1986 to 2006), and 30 years (1986 to 2015).</p> <p>2.3 The measured seafloor topography of the H2 profile .xlsx</p> <p>2.4 Original experimental data related to soil core samples .xlsx</p> <p> </p> <p>3 The plot_ grain.m and plot_ elevation.m file is used to process and analyze grain size distribution and topography, respectively</p>
MODERN STUDENT YOUTH AS A CARRIER OF HUMAN CAPITAL IN A DIGITAL SOCIETY
<p>The article examines the specifics of modern student youth as a special social group in a digital society. The article analyzes the main factors influencing the formation of modern youth, which form the basis of the so-called digital generation, and formulates the thesis about the leading role of student youth as a carrier of modern human capital. Based on the results of the research, the author identifies the main trends in the transformation of the worldview of the younger generation, manifested in the views, values, forms and methods of communication of modern Russian students.</p>
Underlying data for Evaluation of the effect of Modern Sulfonylureas on Oxidative Stress and Hepatorenal Function among Type 2 Diabetic Patients beyond Glycemic Control: an observational study
<p>Underlying data for Evaluation of the effect of Modern Sulfonylureas on Oxidative Stress and Hepatorenal Function among Type 2 Diabetic Patients beyond Glycemic Control: an observational study</p>
Replication package for: "Catholic Censorship and the Demise of Knowledge Production in Early Modern Italy"
<p>Replication package for: "Catholic Censorship and the Demise of Knowledge Production in Early Modern Italy"</p>
Figure 8 in Osteological comparison of casque ontogeny in palaeognathous and neognathous birds: insights for selecting modern analogues in the study of cranial ornaments from extinct archosaurs
Figure 8. Examples of modern casque analogues suitable for specific non-avian dinosaur ornamentation comparisons in the context of (top row) development, (middle row) structural composition, and (boưom row) homologous structures. Each skull shown in right lateral view. Grey regions depict non-ornamental elements, and orange-highlighted regions depict ornamental elements for each represented species (see main text for relevant osteology); neognathous birds surveyed from the literature collectively represented by hornbill illustration (lowest less).
Figure 7 in Osteological comparison of casque ontogeny in palaeognathous and neognathous birds: insights for selecting modern analogues in the study of cranial ornaments from extinct archosaurs
Figure 7. Illustrations of bony cranial anatomy among exemplar dinosaurs with skull ornamentation, i.e. Saurolophus osborni (paired nasals, prefrontals, and frontals; Bell 2011), Protoceratops andrewsi (paired parietals and squamosals; Dodson 1976), Stegoceras validum (paired frontals and parietals; Schoư et al. 2011), Citipati osmolskae (paired premaxillae, nasals, and frontals; Clark et al. 2002), Carnotaurus sastrei (paired frontals; Paulina Carabajal 2011), Monolophosaurus jiangi (paired premaxillae, nasals, lacrimals, prefrontals, and frontals; Brusaưe et al. 2010), Numida meleagris (paired frontals), Macrocephalon maleo (paired frontals and parietals); Casuarius casuarius (mesethmoid, median casque element, paired nasals, paired lacrimals, and paired frontals; Green and Gignac 2021). Each skull shown in right lateral (top) and dorsal (boưom) views. Grey regions depict non-ornamental elements and orange-highlighted regions depict ornamental elements for each represented species.
Figure 6 in Osteological comparison of casque ontogeny in palaeognathous and neognathous birds: insights for selecting modern analogues in the study of cranial ornaments from extinct archosaurs
Figure 6. Three-dimensional renderings from micro-computed tomography data of a developmental series of Casuarius casuarius: A, TLG C025; B, TLG C037; C, TLG C031; D, AMNH SKEL 963; E, AMNH SKEL 962 (see Table 1). Skulls are shown in (top) less lateral and (boưom) dorsal views. Casque elements specific to Casuarius casuarius are indicated by colored cells [dark red (X) = element not participating at specified age; dark green (✓) = element participating at specified age] in the table, and grey cells indicate bones that do not contribute to bones in the species represented in this figure, but do contribute to others in the study. Dashed line divides specimens without (less) and with (right) casques developmentally present.
Figure 5 in Osteological comparison of casque ontogeny in palaeognathous and neognathous birds: insights for selecting modern analogues in the study of cranial ornaments from extinct archosaurs
Figure 5. Three-dimensional renderings from micro-computed tomography data of a developmental series of Macrocephalon maleo: A, UAZ MM005; B, UAZ MM003; C, UAZ MM004; D, UAZ MM002; E, UAZ MM006 (see Table 1). Skulls are shown in (top) less lateral and (boưom) dorsal views. Casque elements specific to Ma. maleo are indicated by colored cells [dark red (X) = element not participating at specified age; dark green (✓) = element participating at specified age] in the table, and grey cells indicate bones that do not contribute to bones in the species represented in this figure, but do contribute to others in the study. Dashed line divides specimens without (less) and with (right) casques developmentally present.
Figure 3 in Osteological comparison of casque ontogeny in palaeognathous and neognathous birds: insights for selecting modern analogues in the study of cranial ornaments from extinct archosaurs
Figure 3. Three-dimensional renderings from micro-computed tomography data of immature (A) Numida meleagris (TLG NM002), (B) Macrocephalon maleo (UAZ MM003), and (C) Casuarius casuarius (TLG C004). (Immature specimens are figured to emphasize clearer suture lines.) Broad cranial casque paưerns divided into geminal (sampled neognaths; N. meleagris and Ma. maleo) and disunited (sampled palaeognath; Casuarius casuarius). Skulls are shown in (top) lateral and (boưom) dorsal views with elements that will contribute to the fully matured adult casque false coloured (maroon = nasals; green = median casque element; blue = mesethmoid; orange = lacrimals; purple = frontals; yellow = parietals).
Figure 2 in Osteological comparison of casque ontogeny in palaeognathous and neognathous birds: insights for selecting modern analogues in the study of cranial ornaments from extinct archosaurs
Figure 2. Three-dimensional renderings from micro-computed tomography data of adult neognaths: A, Gallus gallus (PMG GG001); B, Numida meleagris (TLG NM007); C, Macrocephalon maleo (UAZ MM006); along with palaeognaths: D, Dromaius novaehollandiae (TLG E167); E, Casuarius casuarius (AMNH SKEL 962). In order to determine the cranial bones contributing to casques of ornamented taxa, the cranial osteology of non-casqued neognathous and palaeognathous relatives was used for comparison; (A) G. gallus and (D) D. novaehollandiae, respectively. Micro-computed tomography image data of the two non-casqued taxa were collected via a 2010 GE phoenix v|tome|x s240 high-resolution microfocus computed tomography system (μ-CT) housed in the Microscopy and Imaging Facility of the AMNH and a 2018 Nikon XT H 225 ST μ-CT system housed at the Micro-CT Imaging Consortium for Research and Outreach. Scanning parameters were 110–121 kV, 130–457 μA, ranging from 84.52–101.94 μm, 200–267 ms exposures with isometric voxel size at resolutions, W target, and none or a 0.125 mm filter.
Figure 1 in Osteological comparison of casque ontogeny in palaeognathous and neognathous birds: insights for selecting modern analogues in the study of cranial ornaments from extinct archosaurs
Figure 1. Photographs of adult: A, helmeted guinea fowl (Numida meleagris); B, maleo (Macrocephalon maleo); C, southern cassowary (Casuarius casuarius). All three species possess osseous casques dorsal to their orbits and neurocranium. Photos by T.L.G.
Modern Home Complete
This is my complete version of the modern home attempt Source: Objaverse 1.0 / Sketchfab
Supplementary Data for "Sedimentary conditions drive modern pyrite burial flux to exceed oxidation"
<h2>Supplementary Data for "Sedimentary conditions drive modern pyrite burial flux to exceed oxidation"</h2> <p><strong><br>The Supplementary Data</strong> is divided into the following folders:</p> <ol> <li> <p><strong>Model Validation</strong><br>This folder contains a collection of downcore profiles used for model validation. The profiles were compiled from various datasets to assess the accuracy and performance of the model. This Folder also contains a Validation subfolder, where model-data fits for all profiles are shown. </p> </li> <li> <p><strong>Raw Data</strong><br>This folder includes all the original global datasets utilized in the study. These data were compiled from multiple sources and serve as the foundational input for the analysis presented in the publication.</p> </li> <li> <p><strong>Processed Data</strong><br>This folder contains the processed datasets, which include global products derived from the raw data. Additionally, it contains validation data that has been extracted and compiled for use in the study. Subfolders provide gridded global data used as model inputs and the corresponding gridded global outputs generated by the model. All gridded data is provided as comma-delimited <code>.txt</code> files.</p> </li> </ol> <p><strong>Data Structure and Files</strong></p> <p>Within the processed data, you will find the following key files:</p> <ul> <li> <p><strong><code>latitude.txt</code></strong><br>Contains gridded latitude values.</p> </li> <li> <p><strong><code>longitude.txt</code></strong><br>Contains gridded longitude values.</p> </li> <li> <p><strong>Variable Files (e.g., <code>pyrite_burial_rate.txt</code>):</strong><br>Each variable you wish to work with or display is stored in its own file.</p> </li> <li> <p><strong>Output Grids: <br></strong>pyrite burial rate is <strong><code>pyrite_burial_rate.txt</code> </strong>in g cm⁻² y⁻¹<br>pyrite isotopic composition is <strong><code>delta_pyrite.txt</code> </strong>in ‰ (permil)<br>pyrite formation depth is <strong><code>z_max.txt</code> </strong>in cm <br>total depth-integrated pyrite content is <strong><code>total_mols_pyrite.txt</code></strong> in mol cm⁻².</p> </li> </ul> <p>When working with the data, you need to combine the <code>lat</code> and <code>long</code> grids with the variable file of interest to visualize or analyze the dataset.</p> <h2>Working with the Data in MATLAB</h2> <p>If you are using MATLAB, you can display the data using the <code>geoshow</code> function. For example, to display the pyrite burial rate:</p> <ol> <li> <p><strong>Read the Data:</strong></p> <div> <div><code>latitude = read('latitude.txt'); </code></div> <div><code>longitude = read('longitude.txt'); </code></div> <div><code>data = read('pyrite_burial_rate.txt'); </code></div> </div> </li> <li> <p><strong>Display the Data on a World Map:</strong></p> <div> <div> </div> <div><code>worldmap world </code></div> <div><code>geoshow(latitude, longitude, data, 'DisplayType', 'texturemap')</code></div> <div><code>set(gca,'ColorScale','log')</code></div> <div> </div> <div>Alternatively, you can use the provided <code>plot_global_data.m</code> function located in the <code>/plotting_functions</code> <a href="https://zenodo.org/uploads/14808279">Model</a> folder. </div> <div> </div> </div> </li> </ol> <h2>Working with the Data in Python</h2> <p>If you are using Python, you can work with the gridded data as follows:<code> </code></p> <ol> <li> <p><strong>Read the Data:</strong></p> <div> <div><code>import pandas as pd </code></div> <div><code>import numpy as np </code></div> <div><code>import matplotlib.pyplot as plt </code></div> <div><code>import cartopy.crs as ccrs</code></div> <div><code>from matplotlib.colors import LogNorm</code></div> <div> </div> <div><code>latitude = pd.read_csv('GlobalGridsOutput/latitude.txt', delimiter=',', header=None).values </code></div> <div><code>longitude = pd.read_csv('GlobalGridsOutput/longitude.txt', delimiter=',', header=None).values </code></div> <div><code>data = pd.read_csv('GlobalGridsOutput/pyrite_burial_rate.txt', delimiter=',', header=None).values </code></div> </div> <p> </p> </li> <li> <p><strong>Plotting the Data:</strong><br>You can plot the data on a world map using <code>cartopy</code>:</p> <div> <div> </div> <div><code>fig = plt.figure(figsize=(10, 5)) </code></div> <div><code>ax = plt.axes(projection=ccrs.PlateCarree()) </code></div> <div><code>ax.coastlines() </code></div> <div><code>mesh = ax.pcolormesh(longitude, latitude, data, transform=ccrs.PlateCarree(), cmap='viridis') </code></div> <div><code>plt.colorbar(mesh, ax=ax, orientation='vertical', label='Pyrite Burial Rate') </code></div> <div><code> plt.show() </code></div> </div> </li> </ol> <div> <div> </div> </div> <p><br><br></p>
Effect of Integrating Traditional Tuberculosis Care With Modern Health Care on Case Detection
ClinicalTrials.gov study NCT05236452. IPD Sharing: NO. Countries: 1. Publications: 3.
MISSION Severe Asthma Modern Innovative Solutions to Improve Outcomes in Severe Asthma.
ClinicalTrials.gov study NCT02509130. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Effectiveness of Integrating Family Planning - Maternal, Newborn and Child Health (MNCH) Services on Uptake of Voluntary Modern Contraceptive Methods
ClinicalTrials.gov study NCT05045599. IPD Sharing: NO. Countries: 1. Publications: 1.
Acute and Long-term Cardiovascular Toxicity After Modern Radiotherapy for Breast Cancer
ClinicalTrials.gov study NCT02541435. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Impact of Modern Art Therapy on Patients' Anxiety and Pain During the Waiting Time in an Emergency Department
ClinicalTrials.gov study NCT04997434. IPD Sharing: NO. Countries: 1. Publications: 0.
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International Brain Laboratory public data
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OpenNeuro
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